Build a Super Advanced Trading Bot on DYDX Hosted on AWS with Python - Course Plan of Attack

The video tutorial covers a course divided into three phases: preparation, build, and launch. In the preparation phase, students learn about strategy, coding with dydx, and setting up their environment. The build phase involves creating a trading bot, integrating messaging, and developing trading logic. Finally, the launch phase focuses on deploying the bot using AWS and managing costs. The course also includes practical exercises and resources to facilitate learning.

What is the primary focus of the preparation phase in the course?

• Deploying the bot to the cloud

• Setting up the trading strategy and initial coding

• Creating Telegram messaging

• Managing costs with AWS

Which concept is NOT covered in the strategy section?

• Statistical arbitrage

• Machine learning

• Pairs trading

• Risk management

Why does the course initially use Google Code Lab before VS Code?

• To ensure compatibility with all machines

• To provide a simpler interface

• To avoid installation issues

• To offer a free coding environment

What is the purpose of setting up a Python virtual environment?

• To manage different versions of Python

• To isolate project dependencies

• To enhance code performance

• To simplify code sharing

What is the first step in the build phase?

• Integrating Telegram messaging

• Finding co-integrated pairs

• Connecting to dydx

• Developing a function to clear open positions

Which platform is used for cloud hosting in the launch phase?

• IBM Cloud

• Amazon Web Services

• Microsoft Azure

• Google Cloud

What is the final step in the launch phase?

• Discussing next steps and improvements

• Setting up Telegram messaging

• Deploying the bot to AWS

• Managing costs with AWS